Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
matplotlib.axis.Axis.get_tick_space() Function
The Axis.get_tick_space() function in axis module of matplotlib library is used to get the estimated number of ticks that can fit on the axis.
Syntax: Axis.get_tick_space(self)
Parameters: This method does not accepts any parameters.
Return value: This method return the estimated number of ticks that can fit on the axis.
Below examples illustrate the matplotlib.axis.Axis.get_tick_space() function in matplotlib.axis:
Example 1:
# Implementation of matplotlib function from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
X = np.arange( - 5 , 5 , 1 )
Y = np.arange( - 5 , 5 , 1 )
U, V = np.meshgrid(X, Y)
fig, ax = plt.subplots()
ax.quiver(X, Y, U, V) w = ax.xaxis.get_tick_space()
print ( "Value Return :\n" + str (w))
fig.suptitle( """matplotlib.axis.Axis.get_tick_space()
function Example\n""" , fontweight = "bold")
plt.show() |
Output:
Value Return : 11
Example 2:
# Implementation of matplotlib function from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
fig, ax2 = plt.subplots(sharex = True )
fig.subplots_adjust(left = 0.2 , wspace = 0.6 )
box = dict (facecolor = 'green' , pad = 5 , alpha = 0.2 )
ax2.plot( 20 * np.random.rand( 10 ))
ax2.set_xlabel( 'X - Label' , bbox = box)
ax2.set_xlim( 0 , 10 )
Axis.set_label_coords(ax2.xaxis, 0.5 , 0.95 )
w = ax2.xaxis.get_tick_space()
print ( "Value Return :\n" + str (w))
fig.suptitle( """matplotlib.axis.Axis.get_tick_space()
function Example\n""" , fontweight = "bold")
plt.show() |
Output:
Value Return : 10